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to simulations on quantum simulators and computers, and applications of machine learning, including neural quantum states. Candidates will benefit from state of the art computing resources at the Argonne
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in materials theory. The Division of materials theory offers world-class research in solid-state theory, using both numerical and analytical methods. The research is focused on magnetism, electronic
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satisfaction, and the availability of funds. The successful candidate will conduct numerical and theoretical research on quantum computing, AI-accelerated quantum simulation and materials discovery, quantum
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calculations, such as two-phase coexistence simulations, thermodynamic integration, or the Z-method. ● Research experience with geological materials at high pressure and high temperature. ● Experience
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chemistry, computational materials science or a relevant discipline Proven research skills Scientific scripting / programming Experience in molecular dynamics simulations of polymers Desirable Criteria
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19 Sep 2026 Job Information Organisation/Company CNRS Department Laboratoire Navier Research Field Engineering Physics » Acoustics Engineering » Materials engineering Researcher Profile First Stage
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with the rest of the researchers, - Good manual skills, - Prior experience with Ginzburg-Landau simulations of superconductivity will be of an advantage. Main research field: Physics Sub Research Field
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. You will build simulation agents that predict materials properties (such as Li-ion conductivity in solid electrolytes) autonomously and at scale, validate them against thousands of real A-Lab
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, electromagnetic modelling, additive manufacturing, materials characterisation and experimental validation. The appointee will work closely with the Chief Investigator (CI), Partner Investigators (PIs), research
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19 Sep 2026 Job Information Organisation/Company CNRS Department Propagation des Ondes : Etude Mathématique et Simulation Research Field Engineering Physics » Acoustics Engineering » Materials